ÃÂ¯ÃÂ»ÃÂ¿# northamerica_usa_nv058 - Pete's Summit - Breitenmoser Tree Ring Chronology Data
#-----------------------------------------------------------------------
#		World Data Center for Paleoclimatology, Boulder
#				and
#		NOAA Paleoclimatology Program
#-----------------------------------------------------------------------
# NOTE: Please cite Publication, and Online_Resource and date accessed when using these data.
# If there is no publication information, please cite Investigators, Title, and Online_Resource and date accessed.
#
#
# Online_Resource:
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# Online_Resource: https://www.ncdc.noaa.gov/paleo/study/24611
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# Original_Source_URL:https://www.ncdc.noaa.gov/paleo/study/4984
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# Description/Documentation lines begin with #
# Data lines have no #
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# Archive: Tree Rings
#--------------------
# Contribution_Date
#	Date: 2016-01-07
#--------------------
# Title
#	Study_Name: northamerica_usa_nv058 - Pete's Summit - Breitenmoser Tree Ring Chronology Data
#--------------------
# Investigators
#	Investigators:  Breitenmoser, P.; Bronnimann, S.; Frank, D.
#--------------------
# Description_and_Notes
#	Description: Data from Breitenmoser 2014 Journal of past Climate supplementary, see publication for ARSTAN standardization details
#--------------------
# Publication
#	Authors: Breitenmoser, P.; Bronnimann, S.; Frank, D.
#	Published_Date_or_Year: 2014-03-11
#	Published_Title: Forward modelling of tree-ring width and comparison with a global network of tree-ring chronologies
#	Journal_Name: Climate of the Past
#	Volume: 10 
#	Edition:
#	Issue:
#	Pages: 437-449
#	DOI: 10.5194/cp-10-437-2014
#	Online_Resource: www.clim-past.net/10/437/2014/
#	Full_Citation:
#	Abstract: We investigate relationships between climate and tree-ring data on a global scale using the process-based VaganovÃÂ¢ÃÂÃÂShashkin Lite (VSL) forward model of tree-ring width formation. The VSL model requires as inputs only latitude, monthly mean temperature, and monthly accumulated precipitation. Hence, this simple, process-based model enables ring-width simulation at any location where monthly climate records exist. In this study, we analyse the growth response of simulated tree rings to monthly climate conditions obtained from the CRU TS3.1 data set back to 1901. Our key aims are (a) to assess the VSL model performance by examining the relations between simulated and observed growth at 2287 globally distributed sites, (b) indentify optimal growth parameters found during the model calibration, and (c) to evaluate the potential of the VSL model as an observation operator for data-assimilation-based reconstructions of climate from tree-ring width. The assessment of the growth-onset threshold temperature of approximately 4ÃÂ¢ÃÂÃÂ6 C for most sites and species using a Bayesian estimation approach complements other studies on the lower temperature limits where plant growth may be sustained. Our results suggest that the VSL model skilfully simulates site level treering series in response to climate forcing for a wide range of environmental conditions and species. Spatial aggregation of the tree-ring chronologies to reduce non-climatic noise at the site level yielded notable improvements in the coherence between modelled and actual growth. The resulting distinct and coherent patterns of significant relationships between the aggregated and simulated series further demonstrate the VSL modelÃÂ¢ÃÂÃÂs ability to skilfully capture the climatic signal contained in tree-ring series. Finally, we propose that the VSL model can be used as an observation operator in data assimilation approaches to reconstruct past climate.
#--------------------
#	Authors: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G.J., Noone, D., Perkins, W.A., and E. Steig
#	Published_Date_or_Year: 2018
#	Published_Title: Additions to the last millennium reanalysis multi-proxy database
#	Journal_Name: Data Science Journal
#	Volume:
#	Edition:
#	Issue:
#	Pages:
#	Report_Number:
#	DOI:
#	Online_Resource:
#	Full_Citation: Anderson, D.M., Tardif, R., Horlick, K., Erb, M.P., Hakim, G., J., Noone, D., Perkins, W.A., and E. Steig, submitted. Additions to the last millennium reanalysis multi-proxy database. Data Science Journal.
#	Abstract: Progress in paleoclimatology increasingly occurs via data syntheses. We describe additions to a collection prepared for use in paleoclimate state estimation, specifically the Last Millennium Reanalysis (LMR).  The 2290 additional series include 2152 tree ring chronologies and 138 other series.  They supplement the collection used previously and together form a database titled LMRdb 1.0.0. The additional data draws from lake core, ice core, coral, speleothem, and tree ring archives, using published data primarily from the NOAA Paleoclimatology archive and a set of tree ring width chronologies standardized from raw International Tree Ring Data Bank ring width series. In contrast to many previous paleo compilations, the data were not selected (screened) on the basis of their environmental correlation, multi-century length, or other attributes. The inclusion of proxies sensitive to moisture and other environmental variables expands their use in data assimilation.  A preliminary calibration using linear regression with mean annual temperature reveals characteristics of the proxy series and their relationship to temperature, as well as the noise and error characteristics of the records. The additional records are structured as individual files in the NOAA Paleoclimatology format and archived at NOAA Paleoclimatology (Anderson et al. 2018) and will continue to be improved and expanded as part of the LMR Project.  The additions represent a four-fold increase in the number of records available for assimilation, provide expanded geographic coverage, and add additional proxy variables.  Applications include data assimilation, proxy system model development, and paleoclimate reconstruction using climate field reconstruction and other methods.
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# Funding_Agency
#	Funding_Agency_Name: Swiss National Science Foundation
#	Grant:
#--------------------
#	Funding_Agency_Name: National Science Foundation
#	Grant:AGS-1304263
#	Funding_Agency_Name: National Oceanic and Atmospheric Administration
#	Grant:NA14OAR4310176
#------------------
# Site_Information
#	Site_Name: Pete's Summit
#	Location:
#	Country: United States
#	Northernmost_Latitude: 39.18
#	Southernmost_Latitude: 39.18
#	Easternmost_Longitude: -116.78
#	Westernmost_Longitude: -116.78
#	Elevation: 2347 m
#--------------------
# Data_Collection
#	Collection_Name: northamerica_usa_nv058B
#	Earliest_Year: 1493
#	Most_Recent_Year: 1982
#	Time_Unit: y_ad
#	Core_Length:
#	Notes: {"database":{"database1":"LMR","database2":"Breits"}} {"climateInterpretation":{"basis":"", "climateVariable":"M", "climateVariableDetail":"air", "interpDirection":"positive", "seasonality":"[6, 7, 8]"}}{"VSLite_parameters":{"T1":"3.81019302857","T2":"16.3340749382","M1":"0.0233590329971","M2":"0.442685357034"}}
#--------------------
# Species
#	Species_Name: singleleaf pinyon pine
#	Species_Code: PIMO
#--------------------
# Chronology:
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#--------------------
# Variables
#
# Data variables follow that are preceded by ## in columns one and two.
# Data line variables format:  Variables list, one per line, shortname-tab-longname-tab-longname components (9 components: what, material, error, units, seasonality, archive, detail, method, C or N for Character or Numeric data)
#
##age	age, , ,years AD, , , , ,N
##trsgi	tree ring standardized growth index, tree ring, ,percent relative to mean growth, , Tree Rings, , ,N
#
#--------------------
# Data:
# Data lines follow (have no #)
# Data line format - tab-delimited text, variable short name as header
# Missing Values: nan
#
age	trsgi
1439	0.616
1440	0.88
1441	1.086
1442	0.534
1443	0.75
1444	0.553
1445	0.673
1446	1.012
1447	0.872
1448	0.708
1449	0.867
1450	0.717
1451	0.741
1452	1.157
1453	1.499
1454	1.477
1455	1.323
1456	0.805
1457	0.988
1458	1.177
1459	0.826
1460	0.666
1461	0.865
1462	1.223
1463	1.385
1464	0.965
1465	0.574
1466	0.891
1467	1.014
1468	0.492
1469	0.939
1470	0.996
1471	1.067
1472	0.772
1473	0.584
1474	0.708
1475	0.317
1476	1.057
1477	1.171
1478	0.91
1479	0.675
1480	1.272
1481	1.397
1482	0.95
1483	1.022
1484	1.072
1485	1.091
1486	1.28
1487	1.343
1488	0.983
1489	1.101
1490	1.116
1491	1.201
1492	0.744
1493	1.134
1494	1.17
1495	0.956
1496	0.783
1497	0.855
1498	1.091
1499	0.972
1500	0.33
1501	0.884
1502	1.002
1503	1.191
1504	1.138
1505	0.862
1506	0.514
1507	1.134
1508	1.137
1509	1.558
1510	0.902
1511	1.114
1512	0.972
1513	0.88
1514	0.756
1515	0.712
1516	0.807
1517	1.002
1518	0.722
1519	1.004
1520	1.375
1521	1.209
1522	0.595
1523	0.769
1524	1.112
1525	1.018
1526	0.898
1527	0.925
1528	0.766
1529	0.274
1530	0.893
1531	0.666
1532	0.472
1533	0.771
1534	1.093
1535	1.367
1536	1.403
1537	1.003
1538	1.157
1539	1.393
1540	1.329
1541	1.258
1542	0.684
1543	1.158
1544	0.531
1545	0.637
1546	0.939
1547	0.865
1548	0.972
1549	1.399
1550	1.574
1551	1.585
1552	1.434
1553	1.424
1554	1.466
1555	1.415
1556	1.496
1557	1.362
1558	0.771
1559	0.975
1560	1.285
1561	1.12
1562	1.111
1563	0.98
1564	1.446
1565	0.932
1566	1.37
1567	1.134
1568	1.218
1569	0.978
1570	0.845
1571	1.187
1572	1.316
1573	1.278
1574	1.655
1575	1.197
1576	0.798
1577	1.235
1578	1.12
1579	0.053
1580	0.263
1581	0.85
1582	0.681
1583	0.786
1584	0.753
1585	0.023
1586	0.708
1587	1.204
1588	1.059
1589	1.192
1590	0.582
1591	0.977
1592	0.774
1593	0.681
1594	1.245
1595	0.772
1596	1.186
1597	1.108
1598	0.372
1599	0.976
1600	0.269
1601	1.261
1602	1.52
1603	1.276
1604	1.225
1605	1.116
1606	0.944
1607	0.91
1608	1.414
1609	1.48
1610	1.287
1611	1.117
1612	0.946
1613	0.963
1614	1.001
1615	1.223
1616	1.323
1617	1.598
1618	1.671
1619	1.5
1620	1.337
1621	0.863
1622	0.84
1623	1.247
1624	0.726
1625	1.225
1626	0.504
1627	1.06
1628	1.02
1629	0.868
1630	0.738
1631	1.1
1632	0.275
1633	1.404
1634	0.665
1635	1.172
1636	0.753
1637	0.088
1638	0.461
1639	1.228
1640	1.381
1641	1.467
1642	1.704
1643	1.292
1644	1.599
1645	0.994
1646	1.212
1647	1.133
1648	1.39
1649	1.307
1650	1.233
1651	1.495
1652	1.074
1653	0.68
1654	0.221
1655	0.4
1656	0.557
1657	0.963
1658	1.237
1659	1.11
1660	1.021
1661	1.301
1662	0.871
1663	1.035
1664	1.12
1665	1.304
1666	1.411
1667	0.761
1668	1.025
1669	0.386
1670	0.559
1671	0.527
1672	0.844
1673	0.761
1674	1.056
1675	0.675
1676	0.863
1677	0.859
1678	0.689
1679	0.952
1680	1.075
1681	0.985
1682	1.033
1683	1.098
1684	0.886
1685	0.963
1686	0.37
1687	1.135
1688	1.019
1689	0.625
1690	0.534
1691	0.637
1692	0.986
1693	1.363
1694	0.756
1695	1.022
1696	1.521
1697	1.513
1698	0.941
1699	0.993
1700	0.778
1701	1.07
1702	1.19
1703	0.501
1704	0.995
1705	1.11
1706	0.842
1707	0.316
1708	0.073
1709	0.793
1710	1.015
1711	1.226
1712	0.999
1713	1.154
1714	0.885
1715	1.241
1716	0.879
1717	0.826
1718	0.933
1719	1.615
1720	1.574
1721	0.518
1722	0.229
1723	1.225
1724	1.361
1725	1.169
1726	1.576
1727	1.783
1728	1.34
1729	-0.013
1730	1.15
1731	0.781
1732	0.986
1733	0.373
1734	0.954
1735	0.093
1736	0.437
1737	0.639
1738	1.119
1739	0.608
1740	1.162
1741	0.999
1742	0.952
1743	1.078
1744	0.702
1745	1.2
1746	1.409
1747	1.158
1748	0.505
1749	1.502
1750	0.934
1751	1.047
1752	0.405
1753	0.37
1754	1.54
1755	1.482
1756	0.958
1757	0.009
1758	1.523
1759	0.784
1760	1.288
1761	1.492
1762	1.47
1763	0.963
1764	0.857
1765	0.468
1766	0.85
1767	-0.014
1768	1.027
1769	1.289
1770	0.738
1771	1.35
1772	0.539
1773	0.785
1774	1.013
1775	1.148
1776	1.044
1777	0.157
1778	0.407
1779	1.058
1780	0.72
1781	0.862
1782	-0.014
1783	0.817
1784	0.948
1785	1.159
1786	0.907
1787	1.244
1788	0.473
1789	1.215
1790	1.567
1791	1.405
1792	1.397
1793	1.083
1794	1.03
1795	0.314
1796	1.029
1797	1.014
1798	0.018
1799	1.24
1800	1.126
1801	1.176
1802	1.294
1803	1.305
1804	1.33
1805	1.428
1806	0.213
1807	0.904
1808	0.383
1809	1.244
1810	1.295
1811	1.667
1812	0.93
1813	-0.015
1814	0.573
1815	0.986
1816	1.192
1817	1.28
1818	0.887
1819	1.181
1820	0.967
1821	0.937
1822	0.243
1823	1
1824	0.408
1825	1.143
1826	0.648
1827	0.714
1828	1.215
1829	1.261
1830	1.078
1831	0.965
1832	0.68
1833	0.918
1834	0.617
1835	0.721
1836	0.857
1837	1.35
1838	1.837
1839	1.494
1840	1.597
1841	0.725
1842	0.778
1843	-0.015
1844	1.087
1845	0.829
1846	0.615
1847	0.49
1848	0.688
1849	1.132
1850	1.328
1851	1.014
1852	1.015
1853	1.323
1854	1.329
1855	0.619
1856	0.355
1857	0.987
1858	1.002
1859	1.021
1860	1.112
1861	1.262
1862	1.314
1863	0.697
1864	0.921
1865	1.079
1866	1.349
1867	1.274
1868	1.794
1869	0.861
1870	0.831
1871	0.639
1872	1.408
1873	1.008
1874	1.25
1875	1.24
1876	1.314
1877	1.028
1878	0.695
1879	0.436
1880	1.162
1881	1.231
1882	1.123
1883	0.8
1884	1.48
1885	1.566
1886	1.156
1887	0.962
1888	0.704
1889	0.242
1890	1.249
1891	1.507
1892	1.301
1893	1.104
1894	1.721
1895	1.379
1896	1.318
1897	1.192
1898	1.43
1899	1.06
1900	0.686
1901	0.702
1902	0.927
1903	1.193
1904	0.784
1905	1.103
1906	1.243
1907	1.392
1908	1.016
1909	0.726
1910	1.157
1911	0.895
1912	0.695
1913	1.786
1914	1.806
1915	1.003
1916	0.693
1917	1.373
1918	1.094
1919	0.953
1920	0.71
1921	1.241
1922	1.334
1923	0.954
1924	1.126
1925	1.16
1926	0.922
1927	0.715
1928	0.716
1929	0.749
1930	0.994
1931	0.03
1932	1.265
1933	0.796
1934	-0.011
1935	0.541
1936	0.386
1937	0.843
1938	0.905
1939	0.856
1940	0.845
1941	0.959
1942	1.045
1943	1.093
1944	0.72
1945	0.978
1946	1.43
1947	1.3
1948	1.296
1949	1.58
1950	0.791
1951	0.749
1952	1.994
1953	0.516
1954	0.959
1955	0.913
1956	1.209
1957	0.93
1958	0.906
1959	-0.011
1960	0.399
1961	0.659
1962	1.263
1963	0.761
1964	1.3
1965	1.167
1966	0.521
1967	1.154
1968	0.851
1969	1.47
1970	0.882
1971	1.172
1972	0.881
1973	1.294
1974	0.448
1975	1.336
1976	1.036
1977	0.576
1978	1.217
1979	1.12
1980	1.18
1981	0.861
1982	1.352